By Marcello La Rosa, Peter Loos, Oscar Pastor
This booklet constitutes the court cases of the 14th foreign convention on company method administration, BPM 2016, held in Rio de Janeiro, Brazil, in September 2016.
The concentration of the convention covers a number of papers targeting computerized discovery, conformance checking, modeling foundations, understandability of approach representations, runtime administration and predictive tracking. the themes chosen via the authors display an expanding curiosity of the examine neighborhood within the sector of strategy mining, resonated by way of an both fast-growing uptake through assorted sectors.
Read Online or Download Business Process Management: 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016. Proceedings PDF
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Additional resources for Business Process Management: 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016. Proceedings
R. ) Service Oriented Computing. LNCS, vol. 7084, pp. 467–476. Springer, Heidelberg (2011) 8. Hewlett Packard. Augmented intelligence: Helping humans make smarter decisions. com/tw/zh/software-solutions/asset/software-asset-viewer. asset=2195447&module=1970414. Accessed 01 July 2016 9. IPSoft home page. com/. Accessed 01 July 2016 10. : Computing, cognition, and the future of knowing: how humans andmachines are forging a new age of understanding. ibm. pdf. Accessed 01 July 2016 11. Robotic Revolution – separating hype from reality, 5 October 2015.
The system is illustrated by using an example in city government, where advisors to a mayor collaborate to make recommendations to the mayor about various proposals. For any given proposal there may be multiple processing steps and multiple activities to gather information using a variety of (primarily manual) mechanisms. The system is implemented on top of a Guard-Stage-Milestone (GSM) business artifact system (a foundational element for modern Case Management ); this provides the advantage of modeling both processing steps and data as ﬁrst-class citizens.
Process fragments). In addition to ﬁnding these, eAssistant includes an adaptive component, that enables extensibility of feature sets being looked for, and supports online, continuous trainability. (eAssistant can also help to guide processes at runtime; see Sect. 6). What about the accuracy of the information learned from the above techniques? The use of NLP techniques to learn BPM-relevant information is in its infancy, and so improvements will be on-going. Current techniques are essentially classiﬁcation-based, and it is typical to measure accuracy in terms of precision (of the objects classifed as target what percentage are actually target objects) and recall (what percentage of target objects are classiﬁed as being target).